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Tested with MacOS Sonoma and Ubuntu on WSL2.\n\n\u003cimg src=\"res/c4ttt.png\" style=\"width: 900px\"\u003e\n\n## Prerequisites\n* At a command prompt in the project directory, type `make devinstall` to set up Rye with the appropriate Python version plus the project-level dependencies in development mode, or just `make install` to set up the code as runnable only.\n\n## To run the examples\n* At a command prompt in the project directory, type `make run`.\n* The first time through, the RL model will be trained and then saved to disk. After that, the trained model will be loaded from disk before evaluation.\n* If retraining is desired, delete the model .zip files from the project directory.\n\n## Notes for Visual Studio Code users\n* I've included some extension recommendations that can make your development easier.\n  * [Run On Save](https://marketplace.visualstudio.com/items?itemName=emeraldwalk.RunOnSave)\n  * [Make support and task provider](https://marketplace.visualstudio.com/items?itemName=carlos-algms.make-task-provider)\n* These recommendations will pop up when opening the project inside VSCode.\n* Installing both extensions will\n  * Use the code in `settings.json` to run `make format` and `make lint` on each `File:Save`.\n  * Display available Make targets within the _Makefile Tasks_ sidebar pane and allow them to be run with a mouse click.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbcorfman%2Fpettingzoo-classicenvs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbcorfman%2Fpettingzoo-classicenvs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbcorfman%2Fpettingzoo-classicenvs/lists"}